Speech Signal Segmentation and Storage Implementation Using MATLAB
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This article explores the implementation of speech signal segmentation and storage using MATLAB. We can utilize MATLAB's built-in signal processing toolbox to segment speech signals into distinct components. Through functions like audioread for signal input and various segmentation algorithms (such as energy-based detection or zero-crossing rate analysis), we can precisely divide continuous speech signals into meaningful units like phonemes or words. Following segmentation, MATLAB's file storage capabilities—using functions like audiowrite or save—enable efficient preservation of processed segments in various formats (WAV, MAT, etc.). This approach facilitates better organization and utilization of speech data, creating new possibilities for research and applications. Therefore, mastering speech signal segmentation and storage techniques in MATLAB is essential for audio processing projects.
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